data policy

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DataSeer partners with TaskAdept to expand access to SnapShot Open Science checks

New integration enables journals to easily implement AI Editorial support tools in any publishing platform   Automating editorial checks with DataSeer SnapShot is now simpler than ever, thanks to a new partnership with TaskAdept. The agreement integrates SnapShot – a leading AI-powered editorial screening technology – with TaskAdept’s highly adaptable Carina Workflow Assist platform, enabling journals […]

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data reuse donut charts measure data reuse

Uncovering hidden data reuse: New AI technology from DataSeer measures downstream impact of research data

Do researchers actually reuse publicly available data and code? For years, this question sat at the heart of open science advocacy, yet answers were largely anecdotal. Despite strong policy signals and growing expectations around data sharing, there was no reliable, scalable way to measure whether shared datasets were being reused—or what impact that reuse had

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Preliminary evidence linking Open Science to research integrity

This post is authored by DataSeer Founder and CEO Tim Vines with coauthors Ben Kaub, Adam Day, and Kristen Ratan. It originally appeared on The Scholarly Kitchen blog January 28, 2026.   Back in April 2024, Tim Vines and Ben Kaube put together a Scholarly Kitchen post that took the concept of honest signaling — a theory for why

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DataSeer joins Proofig AI’s PubShield: Bringing Open Science screening to institutions

In early 2026 DataSeer will join Proofig AI as a partner on their PubShield program, enabling researchers at dozens of leading institutions to automatically check their manuscripts for compliance with institutional, funder, or publisher Open Science policies. DataSeer’s checks for open data and open code will be delivered alongside Proofig AI’s image integrity screening and

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Taylor & Francis and DataSeer SnapShot

Spotlight on Taylor & Francis Group and DataSeer SnapShot

NOTE: This post was written by Rebecca Taylor Grant, Director of Open Research for Taylor & Francis together with Tim Vines, Founder and CEO of DataSeer, and Adrian Stanley, Partnerships Director for DataSeer. It originally appeared on the ALPSP blog as part of a series highlighting 2025 finalists for the ALPSP Award for Innovation in

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DataSeer & Taylor & Francis ALPSP finalist

DataSeer a finalist for the 2025 ALPSP Innovation Award

We’re thrilled to share that DataSeer’s joint initiative with Taylor & Francis, has been selected as a finalist for the 2025 ALPSP Award! Our pilot, “Embedding transparency and reproducibility in science: A scalable partnership to support research excellence and data sharing policies,” has passed the first round of evaluation, and is now on the shortlist

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Uncovering impact: Open Science Metric reveal hidden facets of UKRI’s impact on scholarship

In 2024, DataSeer embarked upon a pilot project with Silverchair. Together, we embedded Open Science Metrics data into Silverchair’s Sensus Impact funder dashboards to create data-rich micro-sites for five select funders. DataSeer’s Open Science Metrics quantify research integrity and open science behaviors across thousands of articles at a time, delivering accurate and meaningful business intelligence

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The Future of Reliable Research slide DataSeer

What experts are saying about the future of research integrity in an AI-driven world

NOTE: This post originally appeared on the Research Solutions blog March 11 2025. The exponential growth of research output, coupled with the rise of AI, has created a perfect storm for scientific integrity. Over four million research papers are published annually, with this number doubling roughly every nine years. The sheer volume makes distinguishing between

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Carrot and stick DataSeer

The levers of sharing research data: Moving from aspiration to action with AI support

The following post originally appeared on the Original Thoughts blog.   Written by Tim Vines, Lindsay Morton and Adrian Stanley The benefits of sharing research data are well-documented: improving understanding, enhancing research integrity, and enabling reproducibility and reuse (UNESCO 2023). Data sharing maximizes the impact of scholarly work. However, while the value of transparent research

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Machinery, DataSeer

Expanding the impact narrative to include transparent research practices: A pilot project between DataSeer and Silverchair

Defining the true impact of research is an elusive task. Open science practices such as data sharing, code sharing, protocol and methods sharing, preregistration, and others, can establish pathways towards increased impact. Communicating that impact hinges on easy access to as many elements of the research, metadata surrounding the research, and its usage, as possible.

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